- Add sendSyncRun method for run synchronization
- Add sendRerunRequest method for queue rerun
- Add sync_run (0x26) and rerun_request (0x27) opcodes
- Fix protocol import path to relative path
- Fix db.Stmt type alias usage in sync.zig
- queue.zig: Add --rerun <run_id> flag to re-queue completed local runs
- Requires server connection, rejects in offline mode with clear error
- HandleRerun function sends rerun request via WebSocket
- sync.zig: Rewrite for WebSocket experiment sync protocol
- Queries unsynced runs from SQLite ml_runs table
- Builds sync JSON with metrics and params
- Sends sync_run message, waits for sync_ack response
- MarkRunSynced updates synced flag in database
- watch.zig: Add --sync flag for continuous experiment sync
- Auto-sync runs to server every 30 seconds when online
- Mode detection with offline error handling
- Update experiment.zig with unified commands (local + server modes)
- Add init.zig for local project initialization
- Update sync.zig for project synchronization
- Update main.zig to route new local mode commands (experiment, run, log)
- Support automatic mode detection from config (sqlite:// vs wss://)
Use utils/json.zig helpers to parse sync progress messages:
- Add json module import
- Rename json variable to json_mode to avoid shadowing
- Parse status, progress, total fields from JSON response
- Show percentage completion for in-progress syncs
- Handle 'complete' and 'error' status codes
Build verified: zig build --release=fast
Replace local file copy with embedded rsync binary for actual remote
synchronization to the server. The embedded rsync is extracted from
assets/ at runtime - no external dependencies required.
Changes:
- Re-add rsync_embedded.zig import
- Replace manual file copying with rsync.sync() call
- Construct remote path as api_key@host:worker_base/commit_id/files/
- Update JSON output to include commit_id
Build verified: zig build --release=fast
Replace inline WebSocket URL construction with Config.getWebSocketUrl()
helper method in all command files. This eliminates code duplication
and ensures consistent URL formatting across the CLI.
Files updated:
- annotate.zig, dataset.zig, experiment.zig, logs.zig
- narrative.zig, prune.zig, queue.zig, requeue.zig
- sync.zig, validate.zig, watch.zig
The helper properly handles ws:// vs wss:// based on port (443).
- Add modern CLI interface built with Zig for performance
- Include TUI (Terminal User Interface) with bubbletea-like features
- Implement ML experiment commands (run, status, manage)
- Add configuration management and validation
- Include shell completion scripts for bash and zsh
- Add comprehensive CLI testing framework
- Support for multiple ML frameworks and project types
CLI provides fast, efficient interface for ML experiment management
with modern terminal UI and comprehensive feature set.
